mlent
Joined 14 years ago
Joined 14 years ago
as you suggested though, i didn't know the ML space enough to know that Machine Learning Mastery publishes daily and has an army of people who like and retweet ANYTHING they publish.
so it makes me wonder if i need to have some kind of dampening effect or how i can adapt the algorithm to handle that.
not sure about the sites linked, but i reject sites that are low quality and filled with aggressive ads!
Glad you enjoy it, and yes, the goal is to make it easier to find blogs from individuals. I don't reject sites hosted on 3rd party platforms, but I do encourage people to post their own domain name when possible.
Cheers!
I found it similarly irritating while sourcing the data that all the top 10 google results recycled the same, outdated recommendations.
Do you mean you'd like a central place to discover individual's curated list of blogs they read? Like blogrolls?
Gives people more control over their personal "algorithm" and what they value most when reading personal blogs.
Hadn't thought about frequency but that could definitely be something you could automate based on RSS. Thanks for the idea!
Yeah it's kinda meant to be like its own mini site. But if you click the logo at the top, it does take you to the root homepage :)
Adding a light mode is on the backlog, thanks for the suggestion! I need to remove a few hard-coded CSS values first ;)
what I didn't expect about that site is that it gets shared A LOT on twitter. still trying to refine the algorithm :)
thanks a ton for checking it out and sharing your feedback!
Yes, that's exactly my point -- that in fact reaching this point has been a six-month effort.
I didn't post on HN myself, and therefore did not choose the title either.
Anyways, thanks for pointing that out and I'm glad you got something out of the article!